[package]
name = "ort-sys"
description = "Unsafe Rust bindings for ONNX Runtime 1.24 - Optimize and Accelerate Machine Learning Inferencing"
version = "2.0.0-rc.12"
edition = "2024"
rust-version = "1.88"
links = "onnxruntime"
license = "MIT OR Apache-2.0"
repository = "https://github.com/pykeio/ort"
homepage = "https://ort.pyke.io/"
keywords = [ "machine-learning", "ai", "ml", "onnxruntime", "sys"]
categories = [ "algorithms", "mathematics", "science" ]
authors = [
	"pyke.io <contact@pyke.io>"
]
include = [ "src/", "build/", "LICENSE-APACHE", "LICENSE-MIT" ]
build = "build/main.rs"

[badges.maintenance]
status = "actively-developed"

[features]
default = [ "std", "api-17" ]
std = []
pkg-config = [ "dep:pkg-config" ]
training = []
download-binaries = [ "dep:ureq", "dep:lzma-rust2", "dep:hmac-sha256" ]
copy-dylibs = []
disable-linking = []

api-17 = []
api-18 = [ "api-17" ]
api-19 = [ "api-18" ]
api-20 = [ "api-19" ]
api-21 = [ "api-20" ]
api-22 = [ "api-21" ]
api-23 = [ "api-22" ]
api-24 = [ "api-23" ]

cuda = []
tensorrt = []
openvino = []
onednn = []
directml = []
nnapi = []
coreml = []
xnnpack = []
rocm = []
acl = []
armnn = []
tvm = []
migraphx = []
rknpu = []
vitis = []
cann = []
qnn = []
webgpu = [ "dep:glob" ]
azure = []
nvrtx = []

tls-rustls = [ "tls-rustls-no-provider", "ureq?/rustls" ]
tls-rustls-no-provider = [ "__tls", "ureq?/rustls-no-provider" ]
tls-native = [ "__tls", "ureq?/native-tls" ]
tls-native-vendored = [ "tls-native", "ureq?/vendored" ]
__tls = []

[build-dependencies]
ureq = { version = "3", optional = true, default-features = false, features = [ "socks-proxy" ] }
# The `optimization` feature enables the use of unsafe code, which is unfortunate, but LZMA is so slow we kinda need all the speed we can get.
lzma-rust2 = { version = "0.15", optional = true, default-features = false, features = [ "std", "optimization" ] }
hmac-sha256 = { version = "1.1", optional = true }
pkg-config = { version = "0.3", optional = true }
glob = { version = "0.3", optional = true }